Journal of Tianjin Agricultural University ›› 2023, Vol. 30 ›› Issue (2): 7-10.doi: 10.19640/j.cnki.jtau.2023.02.002

• Researches and Scientific Notes • Previous Articles     Next Articles

Principal component analysis of fruit quality of 8 grape varieties

Ren Xiaoqin1, Wen Hao1, Yang Jinghui1,Corresponding Author, Liu Yanjun1, Li Bing2, Liang Fahui1   

  1. 1. College of Horticulture and Landscape, Tianjin Agricultural University, Tianjin 300392, China;
    2. Institute of Agriculture Resources and Environment, Tianjin Academy of Agricultural Sciences ,Tianjin 300384, China
  • Received:2021-06-30 Online:2023-04-30 Published:2023-06-28

Abstract: The external quality(single fruit weight, transverse diameter, longitudinal diameter, fruit shape index)and internal quality(soluble sugar, soluble solid, water content, titratable acid, VC, ratio of sugar to acid)were measured with eight varieties of grapes, respectively. By comparing the differences of fruit quality in eight different varieties, this study screens high quality grapes and provides theoretical basis for grape nutrition diagnosis. The result showed that the fruit quality of 8 grape varieties showed significant difference; correlation analysis showed that the correlation between single fruit weight and transverse diameter was significantly positive;there was a significant negative correlation between transverse diameter and fruit shape index;the longitudinal diameter was positively correlated with the content of VC, negatively correlated with the soluble solids, and positively correlated with the fruit shape index;fruit shape index was negatively correlated with VC;there was a significant positive correlation between soluble sugar and soluble solids;the comprehensive ranking after principal component analysis:‘Portugal's Dream’>‘Purple Sweet Seedless’>‘Summer Black’>‘Muscat Hamburg’>‘Manicure Finger’>‘Sunshine Rose’> ‘Sapphir’>‘Xinjiang Seedless Dew’. The best comprehensive quality is the fruit of ‘Portugal's Dream’ and the worst is ‘Xinjiang Seedless Dew’ .

Key words: grape, variety, correlation analysis, principal component analysis

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